|
--- |
|
language: |
|
- nl |
|
license: apache-2.0 |
|
tags: |
|
- hf-asr-leaderboard |
|
- generated_from_trainer |
|
datasets: |
|
- mozilla-foundation/common_voice_11_0 |
|
metrics: |
|
- wer |
|
model-index: |
|
- name: FIFA_WC22_WINNER_LANGUAGE_MODEL |
|
results: |
|
- task: |
|
name: Automatic Speech Recognition |
|
type: automatic-speech-recognition |
|
dataset: |
|
name: Common Voice 11.0 |
|
type: mozilla-foundation/common_voice_11_0 |
|
config: 'null' |
|
split: None |
|
args: 'config: nl, split: test' |
|
metrics: |
|
- name: Wer |
|
type: wer |
|
value: 14.261890699371158 |
|
--- |
|
|
|
|
|
# whisper-lt-finetune |
|
|
|
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2588 |
|
- Wer: 14.2619 |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 1e-05 |
|
- train_batch_size: 16 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 250 |
|
- training_steps: 4000 |
|
- mixed_precision_training: Native AMP |
|
### Training results |
|
| Training Loss | Epoch | Step | Validation Loss | Wer | |
|
|:-------------:|:-----:|:----:|:---------------:|:-------:| |
|
| 0.0783 | 1.3 | 1000 | 0.2478 | 15.5647 | |
|
| 0.0287 | 2.6 | 2000 | 0.2441 | 14.3765 | |
|
| 0.0087 | 3.9 | 3000 | 0.2516 | 14.3349 | |
|
| 0.0021 | 5.19 | 4000 | 0.2588 | 14.2619 | |
|
|
|
### Framework versions |
|
- Transformers 4.26.0.dev0 |
|
- Pytorch 1.12.1+cu113 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
